Sampling Designs for Estimating Spatial Variance Components

Sampling designs and estimation procedures are considered for the spatial variogram when no information on magnitude or scale of variation of a spatial variable is available. Design-based solutions to this problem have involved nested balanced designs and estimation based on the method of moments for a random effects model. It has been suggested that highly unbalanced staggered designs may be more efficient in terms of sampling effort than balanced nested designs. All the previous methods based on the estimation of variance components are essentially non-spatial, however. Practical, spatial and parsimonious considerations lead us to a hybrid design-model-based approach of staggered designs on linear transects in three orientations as a suitable sampling procedure

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